AI ML Engineering Visa Sponsorship Jobs in North Carolina
North Carolina's AI/ML engineering job market is anchored by Research Triangle Park, one of the largest research and technology corridors in the country, with employers like Red Hat, Cisco, Lenovo, and SAS Institute actively hiring. Duke University and NC State also feed strong graduate pipelines into the region's growing AI infrastructure and data science sectors.
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Get Access To All JobsINTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
AI ML Engineering Job Roles in North Carolina
See all 511+ AI ML Engineering Jobs in North Carolina
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Search AI ML Engineering Jobs in North CarolinaAI ML Engineering Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in North Carolina?
Several large technology and research employers in North Carolina have established H-1B visa sponsorship track records, including SAS Institute, Red Hat, Cisco, Lenovo, and IBM, which maintain significant operations in the Research Triangle area. Healthcare technology companies such as Labcorp and Syneos Health also sponsor AI/ML roles. Checking DOL Labor Condition Application disclosure data shows which employers have filed LCAs for machine learning and AI engineering positions specifically.
Which visa types are most common for AI/ML engineering roles in North Carolina?
The H-1B is the most common visa for AI/ML engineers in North Carolina, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. The O-1A is an option for engineers with documented extraordinary ability, such as published research or patents. F-1 graduates from NC State, Duke, or UNC can work on OPT or STEM OPT before an employer files an H-1B petition.
How to find ai ml engineering visa sponsorship jobs in North Carolina?
Migrate Mate filters AI/ML engineering jobs specifically by visa sponsorship availability, making it straightforward to identify North Carolina employers actively open to sponsoring international candidates. Rather than manually screening hundreds of listings, you can search Migrate Mate for roles in cities like Raleigh, Durham, Charlotte, and Cary, where most of the state's AI hiring is concentrated.
Which cities in North Carolina have the most AI/ML engineering sponsorship jobs?
Raleigh and Durham are by far the most active cities for AI/ML engineering sponsorship, driven by Research Triangle Park and the proximity to NC State University and Duke University. Charlotte has a growing technology sector with AI roles tied to financial services and fintech companies. Cary, which hosts SAS Institute's headquarters, is another consistent source of machine learning and data engineering positions open to sponsored candidates.
Are there state-specific factors AI/ML engineers should know when pursuing sponsorship in North Carolina?
Research Triangle Park's concentration of technology, life sciences, and enterprise software companies means AI/ML roles here often overlap with biomedical data and clinical analytics, which can affect the degree field an employer lists on the LCA. NC State's well-regarded computer science and statistics programs create a large local candidate pool, so demonstrating specialized ML expertise, graduate-level education, or relevant research experience tends to strengthen sponsorship petitions filed by North Carolina employers.
What is the prevailing wage for sponsored ai ml engineering jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.